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Association Rules Q&A
1What is association rule mining?
Answer: Discovering co-occurrence relationships among items in transactional data.
2What is Apriori?
Answer: Algorithm generating frequent itemsets using support-based pruning.
3What is support?
Answer: Frequency proportion of itemset in all transactions.
4What is confidence?
Answer: Probability of consequent given antecedent.
5What is lift?
Answer: Strength of rule vs random co-occurrence; >1 indicates positive association.
6What is conviction?
Answer: Measures implication strength considering rule direction.
7Why minimum support threshold?
Answer: Filters rare/noisy patterns and reduces search space.
8Market basket analysis use?
Answer: Product bundling, promotions, and recommendation strategies.
9Limitation of association rules?
Answer: Correlation-like patterns, not causal relationships.
10One-line summary?
Answer: Association rules uncover actionable item relationships in transactional data.